Evidence map›Paper›PMID 33769378›Full record

ReviewCurrent opinion in gastroenterology2021

Synthetic human livers for modeling metabolic diseases.

Edgar N Tafaleng, Michelle R Malizio, Ira J Fox, Alejandro Soto-Gutierrez

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in gastroenterology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 52% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Edgar N TafalengDepartment of Surgery.
Michelle R MalizioDepartment of Pathology, University of Pittsburgh School of Medicine.
Ira J FoxDepartment of Surgery.
Alejandro Soto-GutierrezDepartment of Pathology, University of Pittsburgh School of Medicine.
McGowan Institute for Regenerative Medicine · USUniversity of Pittsburgh · US

Funding

ZINC FINGER PROTEINS IN EARLY KIDNEY DEVELOPMENTP01DK049210 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI KAESTNER, KLAUS H · 1995 to 2016
$26.9M
Treating AT Deficiency with Drugs that Modulate the Proteostasis NetworkP01DK096990 · NIDDK · WASHINGTON UNIVERSITY · PI FOX, IRA J. · 2012 to 2023
$18.3M
Harnessing human brain and liver microphysiological systems for testing therapeutics for metastatic melanomaU01TR002383 · NCATS · VANDERBILT UNIVERSITY · PI MURPHY, WILLIAM L., TAYLOR, D. LANSING · 2018 to 2022
$7.6M
Human Microphysiology Systems Disease Model of Type 2 Diabetes Starting with Liver and pancreatic IsletsUH3DK119973 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TAYLOR, D. LANSING · 2020 to 2022
$6.7M
Hepatocyte xenografts for treatment of acute liver failureR01AI122369 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FOX, IRA J., PLATT, JEFFREY L · 2016 to 2020
$5.0M
Mini-Livers Derived from Human IPS Cells for Modeling Steatosis and TherapyR01DK099257 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NAGRATH, DEEPAK, SOTO-GUTIERREZ, ALEJANDRO · 2014 to 2024
$3.4M
Hepatocyte Transplantation for Liver Based Metabolic DiseaseR01DK117916 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FOX, IRA J., VOCKLEY, GERARD · 2018 to 2022
$2.9M
Applying a Human Liver Microphysiology System to Develop Therapeutic Strategies for Non-Alcoholic Fatty Liver Disease (NAFLD)R01DK117881 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TAYLOR, D. LANSING · 2018 to 2021
$2.7M
Human Microphysiology Systems Disease Model of Type 2 Diabetes Starting with Liver and pancreatic IsletsUG3DK119973 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TAYLOR, D. LANSING · 2018 to 2019
$2.3M
A vascularized patient-derived iPSC liver acinus microphysiology system as an innovative precision medicine platform for optimizing clinical trial design for nonalcoholic fatty liver diseaseUG3TR003289 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BEHARI, JAIDEEP, SOTO-GUTIERREZ, ALEJANDRO · 2020 to 2021
$1.5M
NCATS NIH HHS U01 TR002383NCATS NIH HHS UG3 TR003289NIAID NIH HHS R01 AI122369NIDDK NIH HHS P01 DK049210NIDDK NIH HHS P01 DK096990NIDDK NIH HHS R01 DK099257NIDDK NIH HHS R01 DK117881NIDDK NIH HHS R01 DK117916NIDDK NIH HHS UG3 DK119973NIDDK NIH HHS UH3 DK119973
6 · The paper itself

Abstract

purpose of reviewIn this review, we will explore recent advances in human induced pluripotent stem cell (iPSC)-based modeling of metabolic liver disease and biofabrication of synthetic human liver tissue while also discussing the emerging concept of synthetic biology to generate more physiologically relevant liver disease models. RECENT FINDING: iPSC-based platforms have facilitated the study of underlying cellular mechanisms and potential therapeutic strategies for a number of metabolic liver diseases. Concurrently, rapid progress in biofabrication and gene editing technologies have led to the generation of human hepatic tissue that more closely mimic the complexity of the liver. SUMMARY: iPSC-based liver tissue is rapidly becoming available for modeling liver physiology due to its ability to recapitulate the complex three-dimensional architecture of the liver and recapitulate interactions between the different cell types and their surroundings. These mini livers have also been used to recapitulate liver disease pathways using the tools of synthetic biology, such as gene editing, to control gene circuits. Further development in this field will undoubtedly bolster future investigations not only in disease modeling and basic research, but also in personalized medicine and autologous transplantation.

Indexed as

Induced Pluripotent Stem CellsLiver DiseasesMetabolic DiseasesHumans

Identifiers

PMID33769378
PMCPMC8223234
OpenAlexW3134538987

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.